What Mandrel does today—with an explicit focus on making operational data easier to live with, including assistant AI your org can enable. If it is not listed, we have not shipped it yet.
Create datasets inside your organization that look like the things you actually track—customers, assets, requests—not anonymous rows waiting for a legend.
Break long intake into sections so the form reads like a conversation, not a wall of boxes.
Map your org to clear rules: who can read, create, update, or delete in each collection—without handing everyone master keys.
Work with structured rows in predictable lists, and give admins a trail when someone needs to reconstruct a decision.
When your deployment allows it, tie actions to record events—so the boring follow-ups happen on their own, with a log when you need proof.
Mandrel treats AI as part of the product surface—not a side gimmick—so contributors can draft, summarize, and get unstuck against real collections, within org context and sensible limits. Flip it on when your administrators are ready.
Building something that talks to Mandrel? Open the HTTP API reference — OpenAPI shapes, auth, and an explorer so you can poke endpoints without guessing. Prefer AI inside the product? See the assistant section above for how in-app help ties back to the same collections.